| 书目名称 | Spatio-Temporal Databases | | 副标题 | Complex Motion Patte | | 编辑 | Marcos R. Vieira,Vassilis J. Tsotras | | 视频video | | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | This brief presents several new query processing techniques, called complex motion pattern queries, specifically designed for very large spatio-temporal databases of moving objects. The brief begins with the definition of flexible pattern queries, which are powerful because of the integration of variables and motion patterns. This is followed by a summary of the expressive power of patterns and flexibility of pattern queries. The brief then present the Spatio-Temporal Pattern System (STPS) and density-based pattern queries. STPS databases contain millions of records with information about mobile phone calls and are designed around cellular towers and places of interest. Density-based pattern queries capture the aggregate behavior of trajectories as groups. Several evaluation algorithms are presented for finding groups of trajectories that move together in space and time, i.e. within a predefined distance to each other. Finally, the brief describes a generic framework, called DivDB, for diversifying query results. Two new evaluation methods, as well as several existing ones, are described and tested in the proposed DivDB framework. The efficiency and effectiveness of all the propose | | 出版日期 | Book 2013 | | 关键词 | Indexing; Pattern queries; Query processing; Spatio-temporal databases; Techniques mobile databases | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-02408-0 | | isbn_softcover | 978-3-319-02407-3 | | isbn_ebook | 978-3-319-02408-0Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2013 |
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发表于 2025-3-21 18:32:56
